Improved Fracture Network Modelling
Development and production in fractured reservoirs typically involve a different set of challenges than matrix-supported plays. We have many years of hands-on experience in helping our clients to enhance their fracture modelling to improve volume and flow-rate calculations and history-matching.
Wherever viable, our approach is to combine multiple types of fracture data, from both surface (satellite imagery, outcrop analogues) and sub-surface (seismic, well-logs, core), across as wide a range of scales as possible. In this way we’re able to derive a robust, multi-scale characterisation of the fracture network in terms of more representative inputs for Discrete Fracture Network (DFN) models and other reservoir modelling methods.
Whenever we have direct access to relevant outcrop, we spend as much time as possible with traditional “hands-and-knees” data gathering, usually supplemented with the innovative geospatial outcrop technologies that we have pioneered – the major advantage of these is that they allow rapid, cost-effective acquisition of data over large areas of outcrop (including parts of the outcrop that are not safe or feasible to access directly).
Following data acquisition and collation, our processing involves assignation of fracture sets, and derivation of a range of quantitative fracture parameters that collectively comprise a Conceptual Fracture Model (CFM) for each formation or reservoir unit. The individual parameters include non-spatial criteria (spread of orientations, size distributions), spatial aspects of network topology (spacing, intensity, clustering, terminations), as well as geological elements (fracture fill, offset, kinematics, surface morphology). We use the range of values we’ve recorded for the individual fracture parameters as direct deterministic inputs for DFN modelling – ideally as multiple realisations that span best-case to worst-case scenarios. Where we have sufficient data we can also upscale these results for larger-scale to full-field simulation (see below).
We’ve carried out many proprietary fracture network characterisation projects for our clients, in carbonates, coarse clastics, tight shales, and fractured basement plays. We also have our own multi-client fracture products, based on the same tested workflows…
Example Project: Improved Fracture Networking Modelling
Clients: Super-majors, large independents and smaller companies with assets in the Kurdistan Region of Iraq.
Fractured Reservoirs: Full-Field Upscaling
Example Project: Full-Field Upscaling
Clients: Petroleum Institute, Abu Dhabi, and oil & gas companies with assets in Middle East fractured reservoirs.
Example Project: Reservoir Compartmentalisation
Client: Independent oil & gas company with existing production from mature onshore assets, former Soviet Union.
Ground Monitoring for Production & Storage
Example Project: Ground Monitoring for Production & Storage
Client: A company with onshore gas storage facilities in Europe.
Long-term monitoring of surface ground movement with high spatial and temporal precision, to allow the client to compare with their injection & depletion data; i.e. to quantify ground motion during the gas storage-retrieval cycle.
Differential GNSS (Global Navigation Satellite System), terrestrial lidar, InSAR.
Contact GRL Now:
+44 (0)191 384 1759